Abhishek Pothula

I built a student pass/fail prediction model using academic and demographic features. I preprocessed the data, handled missing values, and encoded categorical variables; the model achieved 85% accuracy and was deployed with Streamlit.

For my N8N Gmail Integration project, I built an email automation workflow using n8n and Gmail. I configured a Gmail Trigger node to monitor incoming emails in real time and used rules to automate workflows.

I implemented Verilog designs for an up/down counter and an ALU. The counter included direction and range selection, while the ALU performed arithmetic and logical operations using mux, demux, and decoder structures.

Through training at MosChip Academy of Silicon Systems and Technologies Pvt. Ltd., I learned verification concepts, testbench development, simulation, and debugging, along with Python programming and Tcl scripting. I’m a B.Tech graduate in Electronics and Communication Engineering, interested in Generative AI and technology.